{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3e241dbd-5e46-4eaa-a6bf-9b2d7525f8f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "模拟订单数据条数： 1000\n",
      "完成率: 65.00%, 占位: 100%\n",
      "\n",
      "用于和 Excel 对比的结果表：\n",
      "   完成率    占位\n",
      "0  65%  100%\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "from datetime import datetime, timedelta\n",
    "from faker import Faker\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rcParams\n",
    "\n",
    "# ===================== 1. 生成模拟数据（基于 erp_order 表结构） =====================\n",
    "\n",
    "fake = Faker('zh_CN')\n",
    "random.seed(42)\n",
    "Faker.seed(42)\n",
    "\n",
    "def generate_erp_orders(n_rows=1000):\n",
    "    \"\"\"\n",
    "    基于 erp_order 表的字段，用 Faker 生成不少于 n_rows 条模拟订单数据。\n",
    "    其中 refund_status 人为控制为：65% 未申请退款 + 35% 成功退款，\n",
    "    方便后面得到完成率 = 65%。\n",
    "    \"\"\"\n",
    "    rows = []\n",
    "\n",
    "    store_names = ['旗舰店A', '旗舰店B', '直营店C', '线上旗舰店D']\n",
    "    provinces = ['上海', '北京', '浙江', '江苏', '广东']\n",
    "    cities = ['上海', '杭州', '苏州', '广州', '深圳', '南京']\n",
    "    platforms = ['天猫', '京东', '抖音', '快手']\n",
    "    status_list = ['已发货', '已完成', '待发货', '已取消']\n",
    "    sub_status_list = ['子订单已完成', '子订单待发货', '子订单已取消']\n",
    "    is_gift_list = ['是', '否']\n",
    "\n",
    "    # 关键修改：使用 datetime 对象，而不是字符串，避免 ParseError\n",
    "    base_start = datetime(2025, 1, 1, 0, 0, 0)\n",
    "    base_end   = datetime(2025, 6, 30, 23, 59, 59)\n",
    "\n",
    "    for i in range(n_rows):\n",
    "        # 下单时间\n",
    "        order_time = fake.date_time_between(start_date=base_start, end_date=base_end)\n",
    "\n",
    "        # 付款时间 >= 下单时间\n",
    "        payment_date = order_time + timedelta(\n",
    "            minutes=random.randint(5, 180)\n",
    "        )\n",
    "\n",
    "        # 发货时间 >= 付款时间\n",
    "        shipping_date = payment_date + timedelta(\n",
    "            hours=random.randint(1, 72)\n",
    "        )\n",
    "\n",
    "        quantity = random.randint(1, 5)\n",
    "        unit_price = round(random.uniform(80, 500), 2)\n",
    "        product_amount = round(unit_price * quantity, 2)\n",
    "\n",
    "        # 应付金额、已付金额简单设为商品金额上下浮动\n",
    "        payable_amount = round(product_amount * random.uniform(0.9, 1.1), 2)\n",
    "        paid_amount = round(product_amount * random.uniform(0.9, 1.0), 2)\n",
    "\n",
    "        original_price = round(unit_price * random.uniform(1.0, 1.3), 2)\n",
    "\n",
    "        # 为了控制“完成率=65%”，前 65% 订单标记为“未申请退款”，后 35% 标记为“成功退款”\n",
    "        if i < int(n_rows * 0.65):\n",
    "            refund_status = '未申请退款'\n",
    "        else:\n",
    "            refund_status = '成功退款'\n",
    "\n",
    "        row = {\n",
    "            \"id\": i + 1,\n",
    "            \"internal_order_number\": f\"IN{fake.unique.bothify(text='############')}\",\n",
    "            \"online_order_number\": f\"ON{fake.unique.bothify(text='############')}\",\n",
    "            \"store_name\": random.choice(store_names),\n",
    "            \"full_channel_user_id\": \"U\" + fake.bothify(text='########'),\n",
    "            \"shipping_date\": shipping_date,\n",
    "            \"payment_date\": payment_date,\n",
    "            \"payable_amount\": payable_amount,\n",
    "            \"paid_amount\": paid_amount,\n",
    "            \"status\": random.choice(status_list),\n",
    "            \"consignee\": fake.name(),\n",
    "            \"spu\": \"SPU\" + fake.bothify(text='#####'),\n",
    "            \"order_time\": order_time,\n",
    "            \"province\": random.choice(provinces),\n",
    "            \"city\": random.choice(cities),\n",
    "            \"platform\": random.choice(platforms),\n",
    "            \"sub_order_number\": \"SUB\" + fake.bothify(text='########'),\n",
    "            \"online_sub_order_number\": \"OSUB\" + fake.bothify(text='########'),\n",
    "            \"original_online_order_number\": \"OON\" + fake.bothify(text='########'),\n",
    "            \"sku\": \"SKU\" + fake.bothify(text='########'),\n",
    "            \"quantity\": quantity,\n",
    "            \"unit_price\": unit_price,\n",
    "            \"product_name\": fake.word() + \"商品\",\n",
    "            \"color_and_spec\": random.choice(['红色 M', '黑色 L', '白色 S', '蓝色 XL']),\n",
    "            \"product_amount\": product_amount,\n",
    "            \"original_price\": original_price,\n",
    "            \"is_gift\": random.choice(is_gift_list),\n",
    "            \"sub_order_status\": random.choice(sub_status_list),\n",
    "            \"refund_status\": refund_status,\n",
    "            \"registered_quantity\": quantity if refund_status != '未申请退款' else 0,\n",
    "            \"actual_refund_quantity\": quantity if refund_status == '成功退款' else 0,\n",
    "        }\n",
    "        rows.append(row)\n",
    "\n",
    "    return pd.DataFrame(rows)\n",
    "\n",
    "df_erp = generate_erp_orders(1000)\n",
    "print(\"模拟订单数据条数：\", len(df_erp))\n",
    "\n",
    "# ===================== 2. 计算展示用指标（完成率 & 占位） =====================\n",
    "\n",
    "# 完成率：定义为“未申请退款”的订单占全部订单的比例\n",
    "total_orders = len(df_erp)\n",
    "finished_orders = (df_erp[\"refund_status\"] == \"未申请退款\").sum()\n",
    "completion_rate = finished_orders / total_orders  # 这里应为 0.65\n",
    "\n",
    "occupancy = 1.0  # 占位 = 100%\n",
    "\n",
    "print(f\"完成率: {completion_rate:.2%}, 占位: {occupancy:.0%}\")\n",
    "\n",
    "# 生成与 Excel 一致的汇总表\n",
    "summary_df = pd.DataFrame({\n",
    "    \"完成率\": [f\"{completion_rate*100:.0f}%\"],\n",
    "    \"占位\": [f\"{occupancy*100:.0f}%\"]\n",
    "})\n",
    "print(\"\\n用于和 Excel 对比的结果表：\")\n",
    "print(summary_df)\n",
    "\n",
    "# ===================== 3. 画单值水球图（尽量复刻 Excel 风格） =====================\n",
    "\n",
    "# 字体设置（Win 下一般可以用微软雅黑，防止中文乱码）\n",
    "rcParams['font.sans-serif'] = ['Microsoft YaHei', 'SimHei']\n",
    "rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# 整体深蓝背景\n",
    "fig.patch.set_facecolor('#0b1538')\n",
    "ax.set_facecolor('#0b1538')\n",
    "ax.set_aspect('equal')\n",
    "ax.axis('off')\n",
    "\n",
    "radius = 1.0\n",
    "center = (0, 0)\n",
    "\n",
    "# 外圈圆\n",
    "outer_circle = plt.Circle(center, radius, edgecolor='#1f9bff',\n",
    "                          facecolor='none', linewidth=4)\n",
    "ax.add_patch(outer_circle)\n",
    "\n",
    "# 画水面：用一个正弦波 + 高度 = 完成率\n",
    "level = completion_rate   # 0~1\n",
    "x = np.linspace(-radius, radius, 400)\n",
    "wave_amp = 0.08          # 波浪高度\n",
    "base_y = -radius + 2 * radius * level  # 对应百分比的“水位高度”\n",
    "y_wave = base_y + wave_amp * np.sin(3 * np.pi * x)\n",
    "\n",
    "# 填充水体\n",
    "ax.fill_between(\n",
    "    x, -radius, y_wave,\n",
    "    where=y_wave > -radius,\n",
    "    interpolate=True,\n",
    "    color='#008cff'\n",
    ")\n",
    "\n",
    "# 画 65% 数字\n",
    "ax.text(0, 0, f\"{completion_rate*100:.0f}%\",\n",
    "        ha='center', va='center',\n",
    "        fontsize=60, color='white', weight='bold')\n",
    "\n",
    "# 设置显示范围，让上方留出位置写标题\n",
    "ax.set_xlim(-1.4 * radius, 1.4 * radius)\n",
    "ax.set_ylim(-1.4 * radius, 1.4 * radius)\n",
    "\n",
    "# 主标题 & 副标题\n",
    "ax.text(0, 1.05 * radius,\n",
    "        \"本科及以上学历员工占比\",\n",
    "        ha='center', va='bottom',\n",
    "        color='white', fontsize=24, weight='bold')\n",
    "\n",
    "ax.text(0, 0.85 * radius,\n",
    "        \"6月30日最新统计数据本科及以上员工占比65%\",\n",
    "        ha='center', va='bottom',\n",
    "        color='white', fontsize=14)\n",
    "\n",
    "# 左下角数据来源说明\n",
    "fig.text(0.02, 0.05,\n",
    "         \"*注：数据来源于公司人力资源系统\",\n",
    "         color='white', fontsize=12)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba96b997-1aba-4b2b-9b99-5293cfcae57a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
